A Structural Similarity Metric for Video Based on Motion Models

Kalpana Seshadrinathan, Alan C. Bovik
2007 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  
Quality assessment plays a very important role in almost all aspects of multimedia signal processing such as acquisition, coding, display, processing etc. Several objective quality metrics have been proposed for images, but video quality assessment has received relatively little attention and most video quality metrics have been simple extension of metrics for images. In this paper, we propose a novel quality metric for video sequences that utilizes motion information in video sequences, which
more » ... s the main difference in moving from images to video. This metric is capable of capturing temporal artifacts in video sequences in addition to spatial distortions. Results are presented that demonstrate the efficacy of our quality metric by comparing model performance against subjective scores on the database developed by the Video Quality Experts Group.
doi:10.1109/icassp.2007.366046 dblp:conf/icassp/SeshadrinathanB07 fatcat:rnn27dkiufakpiyucyq7tc6w7y